--- title: "Nada Ghneim — author profile and papers" description: "Nada Ghneim, Arab International University: 5 papers on Elamur Research (2022–2026), h-index 12 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/nada-ghneim/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nada-ghneim/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nada Ghneim # Nada Ghneim 5 papers on this site · 2022–2026 current affiliation [Arab International University](https://md.research.elamur.ai/free/en/universities/arab-international-university/), Ghabāghib, Syria; [Damascus University](https://ror.org/03m098d13), Damascus, Syria Nada Ghneim has 5 papers on this site, in 2022–2026, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Khloud Al Jallad](https://md.research.elamur.ai/free/en/authors/khloud-al-jallad/), [Abdalrahman Al Malah](https://md.research.elamur.ai/free/en/authors/abdalrahman-al-malah/), [Ghaida Rebdawi](https://md.research.elamur.ai/free/en/authors/ghaida-rebdawi/). [OpenAlex](https://openalex.org/A5045594910) · [ORCID](https://orcid.org/0000-0003-1167-1718) · [**h-index 12**](https://openalex.org/authors/A5045594910) · [79 works](https://openalex.org/works?filter=author.id:A5045594910) · [636 citations](https://openalex.org/works?filter=author.id:A5045594910&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [5 works on this site](https://md.research.elamur.ai/free/en/authors/nada-ghneim/#papers) · [19 citations in our library](https://md.research.elamur.ai/free/en/authors/nada-ghneim/cited-by/) · 6 more works in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nada+Ghneim) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nada+Ghneim) · [dblp](https://dblp.org/search?q=Nada+Ghneim) · [ACL Anthology](https://aclanthology.org/search/?q=Nada+Ghneim) ## Affiliations - [Arab International University](https://md.research.elamur.ai/free/en/universities/arab-international-university/) · Ghabāghib, Syria —current · 1995–2026 on 51 papers - [Damascus University](https://ror.org/03m098d13) · Damascus, Syria —current · 2018–2026 on 3 papers - [Higher Institute for Applied Sciences and Technology](https://md.research.elamur.ai/free/en/universities/higher-institute-for-applied-sciences-and-technology/) · Damascus, Syria —2005–2025 on 15 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Semitic languages 5](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Speech & spoken language 2](https://md.research.elamur.ai/free/en/topics/speech/) · [Reasoning 2](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/nada-ghneim/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/nada-ghneim/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/jallad-2022-arnli-arabic-natural-language-inference/) ## Papers The most cited first (OpenAlex and our library). 1. **[ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection](https://md.research.elamur.ai/free/en/papers/jallad-2022-arnli-arabic-natural-language-inference/)** *(2022 · 9 citations)* The paper addresses three-way natural language inference for Arabic: deciding whether one sentence entails, contradicts, or is neutral toward another. 2. **[ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters](https://md.research.elamur.ai/free/en/papers/darwish-2024-areeg-chars-dataset-envisioned-speech/)** *(2024 · 2 citations)* The paper targets a gap in brain-computer interface research: no public EEG data existed for Arabic characters, while English letters, words, and directions already had several benchmarks. 3. **[E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/)** *(2026)* Arabic has few reliable benchmarks for textual entailment and natural language inference. Most existing sets come from a single construction method: machine translation, hand-crafting, or one domain. The authors build E-CONAN by combining Arabic sentence pairs from four kinds of sources: 4. **[E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)** *(2026)* Headline accuracy on NLU benchmarks says little about which linguistic phenomena break a model. Existing diagnostics suites (FraCaS, the GLUE and ALUE diagnostics) also lack a shared naming scheme and an agreed list of phenomena. The authors respond in three ways. They propose an initial cross-lingual hierarchy of… 5. **[ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words](https://md.research.elamur.ai/free/en/papers/darwish-2024-areeg-words-dataset-envisioned-speech/)** *(2024)* Public EEG resources for imagined ("envisioned") speech exist mostly for English and a few other languages, and Arabic has none. ## Also in our library 6 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Khloud Al Jallad](https://md.research.elamur.ai/free/en/authors/khloud-al-jallad/) ×5 - [Abdalrahman Al Malah](https://md.research.elamur.ai/free/en/authors/abdalrahman-al-malah/) ×2 - [Ghaida Rebdawi](https://md.research.elamur.ai/free/en/authors/ghaida-rebdawi/) ×2 - [Hazem Darwish](https://md.research.elamur.ai/free/en/authors/hazem-darwish/) ×2 ## Cited by Papers of our library cite their works 19 times (of the 140 884 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nada-ghneim/cited-by/).